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Data supporting the validation of a simulation model for multi-component gas separation in polymeric membranes

The article describes data concerning the separation performances of polymeric hollow-fiber membranes. The data were obtained using a model for simulating gas separation, described in the research article entitled “Interplay of inlet temperature and humidity on energy penalty for CO(2) post-combusti...

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Detalles Bibliográficos
Autores principales: Giordano, Lorena, Roizard, Denis, Bounaceur, Roda, Favre, Eric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5099263/
https://www.ncbi.nlm.nih.gov/pubmed/27844045
http://dx.doi.org/10.1016/j.dib.2016.10.019
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author Giordano, Lorena
Roizard, Denis
Bounaceur, Roda
Favre, Eric
author_facet Giordano, Lorena
Roizard, Denis
Bounaceur, Roda
Favre, Eric
author_sort Giordano, Lorena
collection PubMed
description The article describes data concerning the separation performances of polymeric hollow-fiber membranes. The data were obtained using a model for simulating gas separation, described in the research article entitled “Interplay of inlet temperature and humidity on energy penalty for CO(2) post-combustion capture: rigorous analysis and simulation of a single stage gas permeation process” (L. Giordano, D. Roizard, R. Bounaceur, E. Favre, 2016) [1]. The data were used to validate the model by comparison with literature results. Considering a membrane system based on feed compression only, data from the model proposed and that from literature were compared with respect to the molar composition of permeate stream, the membrane area and specific energy requirement, varying the feed pressure and the CO(2) separation degree.
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spelling pubmed-50992632016-11-14 Data supporting the validation of a simulation model for multi-component gas separation in polymeric membranes Giordano, Lorena Roizard, Denis Bounaceur, Roda Favre, Eric Data Brief Energy The article describes data concerning the separation performances of polymeric hollow-fiber membranes. The data were obtained using a model for simulating gas separation, described in the research article entitled “Interplay of inlet temperature and humidity on energy penalty for CO(2) post-combustion capture: rigorous analysis and simulation of a single stage gas permeation process” (L. Giordano, D. Roizard, R. Bounaceur, E. Favre, 2016) [1]. The data were used to validate the model by comparison with literature results. Considering a membrane system based on feed compression only, data from the model proposed and that from literature were compared with respect to the molar composition of permeate stream, the membrane area and specific energy requirement, varying the feed pressure and the CO(2) separation degree. Elsevier 2016-10-26 /pmc/articles/PMC5099263/ /pubmed/27844045 http://dx.doi.org/10.1016/j.dib.2016.10.019 Text en © 2016 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Energy
Giordano, Lorena
Roizard, Denis
Bounaceur, Roda
Favre, Eric
Data supporting the validation of a simulation model for multi-component gas separation in polymeric membranes
title Data supporting the validation of a simulation model for multi-component gas separation in polymeric membranes
title_full Data supporting the validation of a simulation model for multi-component gas separation in polymeric membranes
title_fullStr Data supporting the validation of a simulation model for multi-component gas separation in polymeric membranes
title_full_unstemmed Data supporting the validation of a simulation model for multi-component gas separation in polymeric membranes
title_short Data supporting the validation of a simulation model for multi-component gas separation in polymeric membranes
title_sort data supporting the validation of a simulation model for multi-component gas separation in polymeric membranes
topic Energy
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5099263/
https://www.ncbi.nlm.nih.gov/pubmed/27844045
http://dx.doi.org/10.1016/j.dib.2016.10.019
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